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10202bbeb0
setup dvc
5 months ago
0f3aa34d3b
executed the template.py file to create the base files
5 months ago
f6ece374e8
completed the evaluation in reasearch notebook
5 months ago
6054723432
added the data
5 months ago
10a8d12fe6
setup the pipeline of dvc
5 months ago
f6ece374e8
completed the evaluation in reasearch notebook
5 months ago
src
f77bbd6fd6
created the prediction pipeline
5 months ago
e900a77d6b
completed the website of the app
5 months ago
e900a77d6b
completed the website of the app
5 months ago
10202bbeb0
setup dvc
5 months ago
de6344e46f
updated gitignore
5 months ago
869af3d6f8
added the docker file
5 months ago
d141f04904
created base files
5 months ago
f6ece374e8
completed the evaluation in reasearch notebook
5 months ago
e900a77d6b
completed the website of the app
5 months ago
10a8d12fe6
setup the pipeline of dvc
5 months ago
10a8d12fe6
setup the pipeline of dvc
5 months ago
3dbd516954
completed the modular implementaion of model evaluation
5 months ago
37e6f5ac9c
completed model training in research notebook
5 months ago
c39a88af88
added trials jupyter notebook to try some functions
5 months ago
073303b72b
completed the data validation in notebook
5 months ago
5ee91142b6
changed the source folder name to mlProject
5 months ago
053ffd3375
created a template.py, it contain the structure of project and logging config
5 months ago
0f3aa34d3b
executed the template.py file to create the base files
5 months ago
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README.md

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Workflows

  1. Update config.yaml
  2. Update schema.yaml
  3. Update params.yaml
  4. Update the entity
  5. Update the configuration manager in src config
  6. Update the components
  7. Update the pipeline
  8. Update the main.py
  9. Update the app.py

DagsHub

MLFLOW_TRACKING_URI=https://dagshub.com/izam-mohammed/Wine-Quality-Prediction.mlflow \
MLFLOW_TRACKING_USERNAME=izam-mohammed \
MLFLOW_TRACKING_PASSWORD=f497810936eeaf4fdc502187990343255063fd53 \
python script.py
Tip!

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An End-to-End production ready application for predicting the wine quality

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